Systems and methods for wireless network optimization using geo-data for improved user experience

Abstract

A system for network optimization using geo-data may access a set of geotagged data samples associated with a cell. The set of geotagged data samples may be obtained from an application associated with one or more user equipment associated with the cell and the cell includes at least one antenna. The system may also determine a metric associated with the cell based on the set of geotagged data samples, generate one or more antenna adjustments based on the metric, and predict, based on the one or more antenna adjustments, a performance improvement associated with the cell.

What is claimed is: 
     
       1. A method comprising:
 accessing a set of geotagged data samples associated with a cell, wherein the set of geotagged data samples are obtained from an application associated with one or more user equipment associated with the cell and the cell comprises at least one antenna; 
 determining a metric associated with the cell based on the set of geotagged data samples; 
 generating one or more antenna adjustments based on the metric; and 
 predicting, based on the one or more antenna adjustments, a performance improvement associated with the cell, wherein the performance improvement comprises a cross-layer optimization represented by an upper layer metric improvement in response to a lower layer metric tuning. 
 
     
     
       2. The method of  claim 1 , wherein:
 the set of geotagged data samples comprises the metric corresponding to at least one of a download speed, latency, radio signal strength, or radio signal quality associated with a location from which the set of geotagged data samples are obtained. 
 
     
     
       3. The method of  claim 1 , further comprising:
 determining a second metric associated with a second cell based on a second set of geotagged data samples; and 
 determining one or more second antenna adjustments based on the second metric. 
 
     
     
       4. The method of  claim 3 , further comprising:
 determining, for the cell, a sensitivity of an upper layer metric to a lower layer metric; generating a first score associated with the cell based on the sensitivity of the cell; 
 determining, for the second cell, a second sensitivity of the upper layer metric to the lower layer metric; and 
 generating a second score associated with the second cell based on the second sensitivity of the second cell. 
 
     
     
       5. The method of  claim 4 , further comprising:
 prioritizing, for the one or more antenna adjustments, the cell and the second cell based on the first score and the second score. 
 
     
     
       6. The method of  claim 1 , further comprising:
 recommending at least one of the one or more antenna adjustments in response to the performance improvement satisfying at least one predetermined criterion. 
 
     
     
       7. The method of  claim 1 , further comprising:
 determining at least one of an overshooting of the cell or an undershooting of the cell based on an overlap of a first coverage area of the cell with a second coverage area of a second cell, wherein the first coverage area and the second coverage area are determined based on the set of geotagged data samples. 
 
     
     
       8. The method of  claim 1 , wherein:
 the one or more antenna adjustments comprises a recommended tilt angle associated with the at least one antenna, wherein the recommended tilt angle is in relation to a position of a site associated with the cell. 
 
     
     
       9. The method of  claim 1 , wherein:
 the one or more antenna adjustments comprises at least one of a recommended azimuth angle associated with the at least one antenna or a recommended azimuth tuning angle associated with the at least one antenna; 
 the recommended azimuth angle comprises an angle relative to a location of a site associated with the cell that points to a center of a coverage area; and 
 the recommended azimuth tuning angle comprises a difference between a current azimuth angle and the recommended azimuth angle. 
 
     
     
       10. The method of  claim 9 , further comprising:
 determining a second recommended azimuth angle associated with a second cell; and 
 determining whether a difference between the second recommended azimuth angle and the current azimuth angle of the cell is less than a difference between the recommended azimuth angle and the current azimuth angle associated with the cell. 
 
     
     
       11. The method of  claim 10 , further comprising:
 swapping a cell identifier associated with the cell and a second cell identifier associated with the second cell in response to the difference between the second recommended azimuth angle and the current azimuth angle associated with the cell being less than the difference between the recommended azimuth angle and the current azimuth angle associated with the cell. 
 
     
     
       12. The method of  claim 10 , further comprising:
 modifying the recommended azimuth tuning angle to a difference between the second recommended azimuth angle and the current azimuth angle. 
 
     
     
       13. The method of  claim 10 , further comprising:
 determining a second recommended azimuth tuning angle associated with the second cell; and 
 prioritizing the cell and the second cell based on the recommended azimuth tuning angle and the second recommended azimuth tuning angle such that the cell or the second cell with a higher recommended azimuth tuning angle is tuned first. 
 
     
     
       14. The method of  claim 1 , wherein:
 the performance improvement associated with the cell comprises a predicted signal strength improvement. 
 
     
     
       15. The method of  claim 14 , further comprising:
 determining a predicted upper layer metric improvement based on the predicted signal strength improvement, wherein the predicted upper layer metric improvement comprises at least one of download speed or latency. 
 
     
     
       16. The method of  claim 14 , further comprising:
 determining a predicted upper layer metric improvement based on the predicted signal strength improvement, wherein the predicted upper layer metric improvement is determined by joining the predicted signal strength improvement and the predicted upper layer metric improvement. 
 
     
     
       17. The method of  claim 1 , further comprising:
 determining an inaccurate site parameter, corresponding to the cell, based on a distance between a site associated with the cell and a coverage center of the cell greater than a predetermined threshold, wherein the coverage center of the cell is determined based on the set of geotagged data samples associated with the cell; and 
 providing the inaccurate site parameter to a user associated with the site. 
 
     
     
       18. A system comprising:
 one or more processors; and 
 one or more memories storing machine-readable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
 accessing a set of geotagged data samples associated with a cell, wherein the set of geotagged data samples are obtained from an application associated with one or more user equipment associated with the cell and the cell comprises at least one antenna; 
 determining an inaccurate site parameter, corresponding to the cell, based on a distance between a site associated with the cell and a coverage center of the cell greater than a predetermined threshold, wherein the coverage center of the cell is determined based on the set of geotagged data samples associated with the cell; 
 providing the inaccurate site parameter to a user associated with the site; 
 determining a metric associated with the cell based on the set of geotagged data samples; 
 generating one or more antenna adjustments based on the metric; and 
 predicting, based on the one or more antenna adjustments, a performance improvement associated with the cell. 
 
 
     
     
       19. A non-transitory computer-readable medium storing machine-readable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
 accessing a set of geotagged data samples associated with a cell, wherein the set of geotagged data samples are obtained from an application associated with one or more user equipment associated with the cell and the cell comprises at least one antenna; 
 determining at least one of an overshooting of the cell or an undershooting of the cell based on an overlap of a first coverage area of the cell with a second coverage area of a second cell, wherein the first coverage area and the second coverage area are determined based on the set of geotagged data samples; 
 determining a metric associated with the cell based on the set of geotagged data samples; 
 generating one or more antenna adjustments based on the metric; and 
 predicting, based on the one or more antenna adjustments, a performance improvement associated with the cell.